Retrieval Memory papers, 2023–2026

Key findings

• Retrieval Memory went from 23 papers in 2023 to 151 in 2026, roughly 6.6x in three years.
• NeurIPS publishes the most Retrieval Memory work: 120 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 25 in 2026.
• Among the 5 topics under Long Context and Memory, it ranks #3 by 2026 paper count; the fastest grower in the group, Long Context, is up 5.2x versus 6.6x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026ADMIT: Support-Gated Memory-Write Admission for Document QA Agents
• ICML 2026Attention with Routed-Memory for Learnable Sparse Control
• ICLR 2026AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval
• CVPR 2026DREAM Document Recognition with Explicit Adaptive Memory
• NeurIPS 2025EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
• ICML 2025In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval
• ICLR 2025BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments
• CVPR 2025MAD: Memory-Augmented Detection of 3D Objects
• NeurIPS 2024A Gradient Accumulation Method for Dense Retriever under Memory Constraint
• ICML 2024Think Before You Act: Decision Transformers with Working Memory
• ICLR 2024STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
• CVPR 2024Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
• NeurIPS 2023Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
• ICML 2023Memory-Based Meta-Learning on Non-Stationary Distributions
• ICLR 2023Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
• CVPR 2023Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis
• NeurIPS 2026Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models
• ICML 2026Dense associative memory for Gaussian distributions
• ICLR 2026FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
• CVPR 2026Interactive Tracking A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation

All Retrieval Memory papers

290 papers, page 5 of 6

201. NeurIPS 2025Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
202. NeurIPS 2025KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse
203. NeurIPS 2025Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
204. NeurIPS 2025Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
205. NeurIPS 2025Memory Mosaics at scale
206. NeurIPS 2025Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains
207. NeurIPS 2025Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
208. NeurIPS 2025Nested Learning: The Illusion of Deep Learning Architectures
209. NeurIPS 2025NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
210. NeurIPS 2025Optimizing Retrieval for RAG via Reinforced Contrastive Learning
211. NeurIPS 2025ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
212. NeurIPS 2025RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
213. NeurIPS 2025RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
214. NeurIPS 2025Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
215. NeurIPS 2025Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
216. NeurIPS 2025REMI: Reconstructing Episodic Memory During Internally Driven Path Planning
217. NeurIPS 2025RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
218. NeurIPS 2025SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
219. NeurIPS 2025STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
220. NeurIPS 2025Towards General Continuous Memory for Vision-Language Models
221. NeurIPS 2025Understanding protein function with a multimodal retrieval-augmented foundation model
222. NeurIPS 2025Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
223. NeurIPS 2025VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models
224. CVPR 2024Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
225. CVPR 2024EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
226. CVPR 2024LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
227. CVPR 2024MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
228. CVPR 2024Retrieval-Augmented Egocentric Video Captioning
229. CVPR 2024Retrieval-Augmented Embodied Agents
230. CVPR 2024Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
231. CVPR 2024Tactile-Augmented Radiance Fields
232. ICLR 2024BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
233. ICLR 2024KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
234. ICLR 2024Making Retrieval-Augmented Language Models Robust to Irrelevant Context
235. ICLR 2024RA-DIT: Retrieval-Augmented Dual Instruction Tuning
236. ICLR 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
237. ICLR 2024Retrieval-Enhanced Contrastive Vision-Text Models
238. ICLR 2024STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
239. ICML 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
240. ICML 2024A Statistical Framework for Data-dependent Retrieval-Augmented Models
241. ICML 2024Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation
242. ICML 2024Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
243. ICML 2024C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
244. ICML 2024Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
245. ICML 2024InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
246. ICML 2024Larimar: Large Language Models with Episodic Memory Control
247. ICML 2024Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
248. ICML 2024Robust Learning-Augmented Dictionaries
249. ICML 2024Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC
250. ICML 2024Think Before You Act: Decision Transformers with Working Memory

FAQ

How many Retrieval Memory papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

290 in total: 23 in 2023, 44 in 2024, 72 in 2025, 151 in 2026.

How many Retrieval Memory papers are at NeurIPS 2026?

NeurIPS 2026 has 64 Retrieval Memory papers, versus 34 the year before.

How many Retrieval Memory papers are at ICLR 2026?

ICLR 2026 has 31 Retrieval Memory papers, versus 19 the year before.

How many Retrieval Memory papers are at ICML 2026?

ICML 2026 has 38 Retrieval Memory papers, versus 14 the year before.

How many Retrieval Memory papers are at CVPR 2026?

CVPR 2026 has 18 Retrieval Memory papers, versus 5 the year before.

Which conference publishes the most Retrieval Memory papers?

NeurIPS, with 120 papers from 2023 to 2026.